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Our ultimate goal is to investigate the risk factors and mechanisms contributing to the onset and progression of chronic diseases and cancer and develop predictive methods and tools that will improve health. We use probabilistic graphical models and other machine learning methods to model biological processes and integrate and mine high-dimensional, multi-modal biomedical data. We are very interested in the effect of gene regulatory networks and genotype in disease in combination with clinical data.